Triple

T24844557
Position Surface form Disambiguated ID Type / Status
Subject Dominican Sisters of Hawthorne E621709 entity
Predicate ministrySetting P158682 FINISHED
Object hospitals LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: hospitals | Statement: [Dominican Sisters of Hawthorne, ministrySetting, hospitals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ministrySetting
Context triple: [Dominican Sisters of Hawthorne, ministrySetting, hospitals]
  • A. ministry
    Indicates that an entity serves as a governmental ministry responsible for specific public functions or policy areas in relation to another entity.
  • B. ministryUse
    Indicates that an entity utilizes or is employed by a ministry (a governmental or religious administrative body) for its functions or purposes.
  • C. ministrySiteOf
    Indicates that a particular site or location serves as the official premises or base of operations for a specified ministry.
  • D. supportedMinistryOf
    Indicates that one entity provided assistance, endorsement, or resources to help carry out the ministry or religious service activities of another entity.
  • E. ministryStructure
    Indicates the organizational or hierarchical structure that defines how a ministry is arranged and how its internal units relate to one another.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e2fac185d48190a0a6073ad1f6b792 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f47b865df48190bf4b6d3e9f9305e6 completed May 1, 2026, 10:08 a.m.
PD Predicate disambiguation batch_69f4682c8a3c8190adbfaac99474eaaf completed May 1, 2026, 8:45 a.m.
PDg Predicate description generation batch_69f47b7f657c81908174590c811a3cbf completed May 1, 2026, 10:07 a.m.
Created at: April 18, 2026, 5:19 a.m.